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游戏行业的人工智能设计(第一部分)

The gaming industry has seen great strides in game complexity recently. Game developers are challenged to create increasingly compelling games. This series explores important Artificial Intelligence (AI) concepts and how to optimize them for multi-core.
Authored by admin Last updated on 12/12/2018 - 18:00
Article

游戏行业的人工智能设计(第二部分)

Designing AI for Games. Intelligent agents need to identify points of interest in the game world. This article shows how to identify and optimize points of interest and provides ways of organizing them for multi-threading.
Authored by admin Last updated on 12/12/2018 - 18:00
Article

ANSYS* 助力扩展仿真性能

基于仿真的设计需要出色的速度

设计仿真软件改变了企业设计产品的方式,企业不仅能够更加快速地了解和测试更多设计选项,还能减少对物理样机的需求。 ANSYS 软件在这种转变中发挥了核心作用,目前,财富 500 强企业的前 100 家工业公司中,有 96 家采用了该软件。

Authored by Mike P. (Intel) Last updated on 03/21/2019 - 12:00
Article

基于 HIROMB‐BOOS‐Model 3D 海洋代码实现更出色的并发性和 SIMD

通过发挥英特尔® 至强融核™ 协处理器的优势,第 3 章“High Performance Parallelism Pearls”的作者能够对代码进行改进和现代化改造,并“实现出色的扩展、矢量化、带宽利用率和性能功耗比。

Authored by Karthik Raman (Intel) Last updated on 03/21/2019 - 12:00
Article

面向同步异构计算的结构化性能优化框架

随着 HP Apollo 6000 系统的 ProLiant XL250a 服务器宣布支持英特尔® 至强融核™ 协处理器,基于多核主机系统和众核加速器设备的异构计算平台在进军主流 HPC 计算市场方面实现了重大飞跃。 尽管许多应用开发商尝试使用该平台的方式与 GPGPU 加速平台相同,但这种做法会降低多核主机处理器的处理能力,以及企业 IT 运营的效率。

Authored by Last updated on 03/21/2019 - 12:00
Article

著作 - High Performance Parallelism Pearls

A look into the contents of the two "Pearls" books, edited by James Reinders and Jim Jeffers. These books contain a collection of examples of code modernization.
Authored by Mike P. (Intel) Last updated on 03/21/2019 - 12:00
Video

采访英特尔® 现代代码开发人员挑战赛特等奖获得者 Mathieu Gravey

Mathieu Gravey 介绍了他的英特尔® 现代代码开发人员挑战赛参赛之旅,以及获得奖品 — CERN openlab 实习机会的喜悦。 在参赛过程中,他将现代代码和基于英特尔至强处理器的并行计算应用于优化大脑模拟代码,并将其性能提升了高达 32,000%。 对于此次实习,他希望与世界顶尖的研究科学家合作实现生物和信息系统的融合。

Authored by Last updated on 03/21/2019 - 12:00
Blog post

我的现代代码学习之旅

当我第一次看到英特尔信息技术峰会的课程时,现代代码专家正在进行激烈的讨论,不由得激起了我思考与学习的兴趣。

Authored by Abhishek 81 Last updated on 12/12/2018 - 18:00
Article

整理您的数据和代码: 优化和内存 — 第 1 部分

This series of two articles discusses how data and memory layout affect performance and suggests specific steps to improve software performance. The basic steps shown in these two articles can yield significant performance gains. These two articles are designed at an intermediate level. It is assumed the reader desires to optimize software performance using common C, C++ and Fortran* programming...
Authored by David M. Last updated on 12/12/2018 - 18:00
Blog post

线程并行化的概念及其用法

An Intro to Multi-Level Parallelism for High-Performance Computing by Clay Breshears | Life Sciences Software Architect, Intel
Authored by Clay B. (Blackbelt) Last updated on 12/12/2018 - 18:08